Md Imran Siddiqui

Aspiring Data Scientist, Backend Developer, AI/ML Developer

I have strong expertise in Data Science, hands-on experience in building full-stack projects, and a track record of creating numerous chat applications and web automation tools.

See My Work

About Me

Portrait

Motivated Computer Engineering student with strong foundations in Backend development, data analysis, and full-stack web applications.

Skilled in building end-to-end projects using modern tools and frameworks, with hands-on experience in Python, Flask, SQL, and Data Science.

Seeking an opportunity to contribute technical expertise, problem-solving abilities, and innovative thinking in a challenging development or data-driven role.

My Projects

Project 1

AskPU – College Q&A Platform

Flask-based web app with user authentication, OTP via Flask-Mail, and profile management. Features: voting & commenting system, notifications, search functionality, and moderation using Perspective API.

Live Link
Python flask Html css Js PostgreSql
Project 2

Qr based Restaurant Management Website

Full-stack web application for restaurant operations. Features: menu management, order handling, customer interaction system, and clean responsive UI.


Live Link
Python flask Html css Js PostgreSql
Project 3

Crime Data Analysis & Dashboard

Conducted EDA on crime datasets with Pandas, Matplotlib, Seaborn. Built interactive dashboards in Excel & Flask (with Chart.js, D3.js) featuring predefined & custom visualizations.

Python flask Html css Js Pandas Matplotlib Seaborn Excel Chart.js

More projects on github

My Skills

Python
C++ / Java
SQL
HTML / CSS / JavaScript
Flask
SQLAlchemy / Supabase
PostgreSQL / SQLite
NumPy / Pandas
Matplotlib / Seaborn
Excel (Dashboards & Analysis)
Machine Learning (Basics)
Chart.js / D3.js
Git / GitHub
API Integration (Gemini, Perspective, Telegram/WhatsApp)

Get In Touch

I'm always open to collaboration, freelance projects, or simply connecting with fellow learners and developers. Feel free to reach out!

Response time: usually within 24 hours

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